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Event reconstruction is a fundamental part of the digital forensic process, helping to answer key questions like who, what, when, and how. A common way of accomplishing that is to use tools to create timelines, which are then analyzed.…

Cryptography and Security · Computer Science 2024-12-18 Céline Vanini , Chris Hargreaves , Frank Breitinger

Many systems rely on reliable timestamps to determine the time of a particular action or event. This is especially true in digital investigations where investigators are attempting to determine when a suspect actually committed an action.…

Computers and Society · Computer Science 2018-03-23 Joshua I. James , Yunsik Jang

Event reconstruction is a technique that examiners can use to attempt to infer past activities by analyzing digital artifacts. Despite its significance, the field suffers from fragmented research, with studies often focusing narrowly on…

Cryptography and Security · Computer Science 2025-09-10 Frank Breitinger , Hudan Studiawan , Chris Hargreaves

In today's world of computers, any kind of information can be made available within few clicks for different endeavors. The information may be tampered by changing the statistical properties and can be further used for criminal activities.…

Computers and Society · Computer Science 2017-09-20 Nikita Rana , Gunjan Sansanwal , Kiran Khatter , Sukhdev Singh

As the amount of digital devices suspected of containing digital evidence increases, case backlogs for digital investigations are also increasing in many organizations. To ensure timely investigation of requests, this work proposes the use…

Cryptography and Security · Computer Science 2014-07-23 Joshua I. James , Pavel Gladyshev

Timestamps in digital traces include significant detailed information on when human behaviors occur, which is universally available and standardized in all types of digital traces. Nevertheless, the concept of time is under-explicated in…

Computers and Society · Computer Science 2026-03-25 Tai-Quan Peng , Jonathan J. H. Zhu

Camera tamper detection is the ability to detect unauthorized and unintentional alterations in surveillance cameras by analyzing the video. Camera tampering can occur due to natural events or it can be caused intentionally to disrupt…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Pranav Mantini , Shishir K. Shah

Having a clear view of events that occurred over time is a difficult objective to achieve in digital investigations (DI). Event reconstruction, which allows investigators to understand the timeline of a crime, is one of the most important…

Computers and Society · Computer Science 2019-03-05 Yoan Chabot , Aurélie Bertaux , Christophe Nicollea , Tahar Kechadi

The Digital Forgeries though not visibly identifiable to human perception it may alter or meddle with underlying natural statistics of digital content. Tampering involves fiddling with video content in order to cause damage or make…

Multimedia · Computer Science 2015-03-04 Sowmya K. N. , H. R. Chennamma

In distributed systems, trust decisions are made on the basis of integrity evidence generated via remote attestation. Examples of the kinds of evidence that might be collected are boot time image hash values; fingerprints of initialization…

Cryptography and Security · Computer Science 2024-02-02 Ian D. Kretz , Clare C. Parran , John D. Ramsdell , Paul D. Rowe

Our modern world relies on a growing number of interconnected and interacting devices, leading to a plethora of logs establishing audit trails for all kinds of events. Simultaneously, logs become increasingly important for forensic…

Cryptography and Security · Computer Science 2023-08-11 David Koisser , Ahmad-Reza Sadeghi

Consider an asynchronous system consisting of processes that communicate via message-passing. The processes communicate over a potentially {\em incomplete} communication network consisting of reliable bidirectional communication channels.…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-21 Nitin H. Vaidya , Sandeep S. Kulkarni

In everyday life. Technological advancement can be found in many facets of life, including personal computers, mobile devices, wearables, cloud services, video gaming, web-powered messaging, social media, Internet-connected devices, etc.…

Computers and Society · Computer Science 2016-10-04 Mark Scanlon

In this paper, we develop a novel logic-based approach to detecting high-level temporally extended events from timestamped data and background knowledge. Our framework employs logical rules to capture existence and termination conditions…

Artificial Intelligence · Computer Science 2026-04-24 Yvon K. Awuklu , Meghyn Bienvenu , Katsumi Inoue , Vianney Jouhet , Fleur Mougin

[Context and motivation] Trace matrices are lynch pins for the development of mission- and safety-critical software systems and are useful for all software systems, yet automated methods for recovering trace links are far from perfect. This…

Software Engineering · Computer Science 2018-04-10 Bhushan Chitre , Jane Huffman Hayes , Alexander Dekhtyar

Process mining starts from event data. The ordering of events is vital for the discovery of process models. However, the timestamps of events may be unreliable or imprecise. To further complicate matters, also causally unrelated events may…

Databases · Computer Science 2021-07-09 Wil M. P. van der Aalst , Luis Santos

Time series are all around in real-world applications. However, unexpected accidents for example broken sensors or missing of the signals will cause missing values in time series, making the data hard to be utilized. It then does harm to…

Machine Learning · Computer Science 2020-11-24 Chenguang Fang , Chen Wang

The digital images from various sources are ubiquitous due to easy availability of high bandwidth Internet. Digital images are easy to tamper with good or bad intentions. Non-availability of pre-embedded information in digital images makes…

Computer Vision and Pattern Recognition · Computer Science 2022-04-20 Kshipra Tatkare , Manoj Devare

When training powerful AI systems to perform complex tasks, it may be challenging to provide training signals which are robust to optimization. One concern is \textit{measurement tampering}, where the AI system manipulates multiple…

Machine Learning · Computer Science 2023-10-02 Fabien Roger , Ryan Greenblatt , Max Nadeau , Buck Shlegeris , Nate Thomas

Most pictures shared online are accompanied by temporal metadata (i.e., the day and time they were taken), which makes it possible to associate an image content with real-world events. Maliciously manipulating this metadata can convey a…

Computer Vision and Pattern Recognition · Computer Science 2022-03-14 Rafael Padilha , Tawfiq Salem , Scott Workman , Fernanda A. Andaló , Anderson Rocha , Nathan Jacobs
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